@inproceedings{0378cbf2517544618c53b2a44e17c1d6,
title = "Observation and modelling of asymmetric loading on large offshore wind turbines in wake conditions",
abstract = "We study the dynamic loading of a wind turbine in the presence of a single wake in the wind speed range of 8 to 12 m/s and a wind direction range of 40° around the wake alignment direction. Measurement data from an offshore wind farm in the North Sea is compared to simulations. Damage equivalent loads and order spectra are compared. Five wake models are used: Frandsen added turbulence model, three parametrizations of DWM, and LES wake simulations. A new parametrization of DWM with an added wake distortion model is introduced improving the wake effect on fatigue loading of tower top torsion and tilt bending moment. All DWM models compare more favourably to measurements than the added turbulence model, but only the wake distortion model allows for a conservative fatigue assessment on all channels. LES has the potential to be even more accurate in capturing the spectral response in wake, but results are preliminary as limited LES data was available.",
author = "V. Bernard and Andersen, {S. J.} and {Murcia Leon}, {J. P.} and L. Beaudet and D. Verelst and A. Iliopoulos",
year = "2024",
doi = "10.1088/1742-6596/2767/9/092092",
language = "English",
series = "Journal of Physics: Conference Series",
publisher = "IOP Publishing",
number = "9",
booktitle = "The Science of Making Torque from Wind (TORQUE 2024): Wind resource, wakes, and wind farms",
address = "United Kingdom",
note = "The Science of Making Torque from Wind (TORQUE 2024), TORQUE 2024 ; Conference date: 29-05-2024 Through 31-05-2024",
}